A concise survey of the literature on cyclostationarity of the last 10 years is presented and an
extensive bibliography included. The problems of statistical function estimation, signal …

This paper derives an asymptotic generalized likelihood ratio test (GLRT) and an asymptotic
locally most powerful invariant test (LMPIT) for two hypothesis testing problems: 1) Is a …

A uniplanar microstrip line RF/microwave real-time analog signal processing (RAP) units are
proposed in this article to operate concurrently at two frequencies for spectrum aggregation …

The chirp-cyclostationary (CCS) process is the generalized form of the cyclostationary (CS)
process and it can describe the nonstationary stochastic signal models more exactly in …

To address the common issues in traditional convolutional neural network (CNN)-based
spectrum sensing algorithms in cognitive radio networks (CRNs), including inadequate …

Cognitive radio-based Internet of Things (CR-IoTs) provide an efficient spectrum
management for IoT networks with massive wireless access and data transmission needs …

Cognitive radio technology, which helps to alleviate spectrum scarcity problem, plays an
important role in future wireless communication systems. Spectrum sensing is the key …

For almost-cyclostationary processes, sufficient conditions are derived, such that estimates
of the second-order cyclic probabilistic functions with estimated cycle frequencies are mean …

针对传统卷积神经网络(CNN) 频谱感知方法没有充分利用特征图信息并且提取特征图的能力受
限于浅层的网络结构等问题, 通过在传统CNN 频谱感知方法中添加密集连接 …

This study deals with implementation and verification of the cyclostationary feature detector
suitable for DVB‐T signals. A new decision statistic has been proposed for a multi‐cycle …